---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- te_dx_jp
model-index:
- name: t5-base-TEDxJP-7front-1body-7rear
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base-TEDxJP-7front-1body-7rear

This model is a fine-tuned version of [sonoisa/t5-base-japanese](https://huggingface.co/sonoisa/t5-base-japanese) on the te_dx_jp dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4384
- Wer: 0.1692
- Mer: 0.1635
- Wil: 0.2483
- Wip: 0.7517
- Hits: 55908
- Substitutions: 6222
- Deletions: 2457
- Insertions: 2249
- Cer: 0.1327

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 30
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Mer    | Wil    | Wip    | Hits  | Substitutions | Deletions | Insertions | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|:-----:|:-------------:|:---------:|:----------:|:------:|
| 0.5881        | 1.0   | 1457  | 0.4572          | 0.2115 | 0.1995 | 0.2882 | 0.7118 | 54840 | 6661          | 3086      | 3916       | 0.1812 |
| 0.5018        | 2.0   | 2914  | 0.4167          | 0.1843 | 0.1765 | 0.2640 | 0.7360 | 55546 | 6494          | 2547      | 2863       | 0.1490 |
| 0.4633        | 3.0   | 4371  | 0.4110          | 0.1738 | 0.1679 | 0.2540 | 0.7460 | 55623 | 6327          | 2637      | 2260       | 0.1369 |
| 0.3971        | 4.0   | 5828  | 0.4068          | 0.1724 | 0.1666 | 0.2522 | 0.7478 | 55672 | 6278          | 2637      | 2218       | 0.1351 |
| 0.3907        | 5.0   | 7285  | 0.4131          | 0.1688 | 0.1635 | 0.2479 | 0.7521 | 55789 | 6180          | 2618      | 2106       | 0.1325 |
| 0.3305        | 6.0   | 8742  | 0.4147          | 0.1706 | 0.1649 | 0.2504 | 0.7496 | 55797 | 6281          | 2509      | 2227       | 0.1336 |
| 0.2937        | 7.0   | 10199 | 0.4236          | 0.1692 | 0.1636 | 0.2482 | 0.7518 | 55883 | 6207          | 2497      | 2223       | 0.1334 |
| 0.2649        | 8.0   | 11656 | 0.4307          | 0.1693 | 0.1638 | 0.2493 | 0.7507 | 55806 | 6272          | 2509      | 2154       | 0.1329 |
| 0.2914        | 9.0   | 13113 | 0.4319          | 0.1691 | 0.1634 | 0.2482 | 0.7518 | 55928 | 6230          | 2429      | 2262       | 0.1328 |
| 0.2598        | 10.0  | 14570 | 0.4384          | 0.1692 | 0.1635 | 0.2483 | 0.7517 | 55908 | 6222          | 2457      | 2249       | 0.1327 |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.12.1